AINeutralarXiv – CS AI · 7h ago6/10
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Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding?
Researchers propose dynamic Stiefel routing, a novel machine learning approach using expert projection filters on the Stiefel manifold to improve cross-domain EEG decoding without requiring target-domain calibration data. The method addresses a fundamental degeneracy problem where naive routing collapses to ensemble averaging, introducing three structural properties that enable genuine domain-specialized routing with significant accuracy improvements across datasets.